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Caiqin Dong
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2020 – today
- 2024
- [j4]Caiqin Dong
, Jian Weng
, Ming Li
, Jia-Nan Liu
, Zhiquan Liu
, Yudan Cheng
, Shui Yu
:
Privacy-Preserving and Byzantine-Robust Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(2): 889-904 (2024) - 2023
- [j3]Caiqin Dong
, Jian Weng
, Jia-Nan Liu
, Anjia Yang
, Zhiquan Liu
, Yaxi Yang, Jianfeng Ma
:
Maliciously Secure and Efficient Large-Scale Genome-Wide Association Study With Multi-Party Computation. IEEE Trans. Dependable Secur. Comput. 20(2): 1243-1257 (2023) - [j2]Yudan Cheng
, Jianfeng Ma, Zhiquan Liu
, Yongdong Wu, Kaimin Wei, Caiqin Dong
:
A Lightweight Privacy Preservation Scheme With Efficient Reputation Management for Mobile Crowdsensing in Vehicular Networks. IEEE Trans. Dependable Secur. Comput. 20(3): 1771-1788 (2023) - [j1]Yudan Cheng
, Jianfeng Ma, Zhiquan Liu
, Zhetao Li, Yongdong Wu, Caiqin Dong
, Runchuan Li
:
A Privacy-Preserving and Reputation-Based Truth Discovery Framework in Mobile Crowdsensing. IEEE Trans. Dependable Secur. Comput. 20(6): 5293-5311 (2023) - [c1]Caiqin Dong, Jian Weng, Jia-Nan Liu, Yue Zhang, Yao Tong, Anjia Yang, Yudan Cheng, Shun Hu:
Fusion: Efficient and Secure Inference Resilient to Malicious Servers. NDSS 2023 - 2022
- [i1]Caiqin Dong, Jian Weng, Yao Tong, Jia-Nan Liu, Anjia Yang, Yudan Cheng, Shun Hu:
Fusion: Efficient and Secure Inference Resilient to Malicious Server and Curious Clients. CoRR abs/2205.03040 (2022)
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last updated on 2024-04-24 22:57 CEST by the dblp team
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